Pandas Profiling Report AFTER Cleaning

Dataset statistics

Number of variables	22
Number of observations	663
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	77.6 KiB
Average record size in memory	119.8 B

Variable types

NUM	13
CAT	6
BOOL	3

Warnings

`Disciplinary failure` has constant value "663"	Constant
`Education` is highly correlated with `ID`	High correlation
`ID` is highly correlated with `Education`	High correlation
`df_index` has unique values	Unique
`Children` has 261 (39.4%) zeros	Zeros
`Pet` has 404 (60.9%) zeros	Zeros

Reproduction

Analysis started	2020-11-11 16:06:06.909984
Analysis finished	2020-11-11 16:06:40.203339
Duration	33.29 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	663
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	367.7149321
Minimum	0
Maximum	736
Zeros	1
Zeros (%)	0.2%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	35.1
Q1	181.5
median	369
Q3	551
95-th percentile	700.7
Maximum	736
Range	736
Interquartile range (IQR)	369.5

Descriptive statistics

Standard deviation	213.0937382
Coefficient of variation (CV)	0.5795079819
Kurtosis	-1.205649484
Mean	367.7149321
Median Absolute Deviation (MAD)	185
Skewness	-0.003989991574
Sum	243795
Variance	45408.94127
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
736	1	0.2%
247	1	0.2%
245	1	0.2%
244	1	0.2%
243	1	0.2%
242	1	0.2%
241	1	0.2%
240	1	0.2%
239	1	0.2%
238	1	0.2%
237	1	0.2%
236	1	0.2%
235	1	0.2%
234	1	0.2%
233	1	0.2%
232	1	0.2%
231	1	0.2%
230	1	0.2%
229	1	0.2%
246	1	0.2%
248	1	0.2%
269	1	0.2%
249	1	0.2%
267	1	0.2%
266	1	0.2%
Other values (638)	638	96.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	1	0.2%
6	1	0.2%
7	1	0.2%
8	1	0.2%
9	1	0.2%
10	1	0.2%

Value	Count	Frequency (%)
736	1	0.2%
735	1	0.2%
734	1	0.2%
733	1	0.2%
732	1	0.2%
731	1	0.2%
730	1	0.2%
729	1	0.2%
728	1	0.2%
727	1	0.2%

ID
Categorical

HIGH CORRELATION

Distinct	33
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Memory size	2.3 KiB

3	96
28	73
34	50
22	41
20	39
Other values (28)	364

Common Values
Overview

Value	Count	Frequency (%)
3	96	14.5%
28	73	11.0%
34	50	7.5%
22	41	6.2%
20	39	5.9%
11	38	5.7%
15	34	5.1%
14	29	4.4%
36	28	4.2%
24	27	4.1%
33	23	3.5%
10	23	3.5%
1	22	3.3%
17	20	3.0%
18	14	2.1%
5	13	2.0%
13	13	2.0%
25	10	1.5%
6	8	1.2%
9	8	1.2%
12	7	1.1%
30	6	0.9%
27	6	0.9%
32	5	0.8%
23	5	0.8%
Other values (8)	25	3.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	2
Median length	2
Mean length	1.766214178
Min length	1

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	269	23.0%
3	251	21.4%
1	246	21.0%
4	106	9.1%
8	87	7.4%
0	68	5.8%
5	57	4.9%
6	43	3.7%
7	30	2.6%
9	14	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1171	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	269	23.0%
3	251	21.4%
1	246	21.0%
4	106	9.1%
8	87	7.4%
0	68	5.8%
5	57	4.9%
6	43	3.7%
7	30	2.6%
9	14	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1171	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	269	23.0%
3	251	21.4%
1	246	21.0%
4	106	9.1%
8	87	7.4%
0	68	5.8%
5	57	4.9%
6	43	3.7%
7	30	2.6%
9	14	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1171	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	269	23.0%
3	251	21.4%
1	246	21.0%
4	106	9.1%
8	87	7.4%
0	68	5.8%
5	57	4.9%
6	43	3.7%
7	30	2.6%
9	14	1.2%

Reason for absence
Categorical

Distinct	27
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

23	142
28	108
13	55
27	47
19	40
Other values (22)	271

Common Values
Overview

Value	Count	Frequency (%)
23	142	21.4%
28	108	16.3%
13	55	8.3%
27	47	7.1%
19	40	6.0%
22	37	5.6%
26	33	5.0%
25	31	4.7%
11	26	3.9%
10	25	3.8%
18	21	3.2%
14	19	2.9%
1	16	2.4%
7	15	2.3%
12	8	1.2%
6	8	1.2%
21	6	0.9%
8	6	0.9%
9	4	0.6%
16	3	0.5%
24	3	0.5%
5	3	0.5%
15	2	0.3%
4	2	0.3%
17	1	0.2%
Other values (2)	2	0.3%

Frequencies of value counts

Unique

Unique	3 ?
Unique (%)	0.5%

Histogram of lengths of the category

Length

Max length	2
Median length	2
Mean length	1.915535445
Min length	1

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	453	35.7%
1	248	19.5%
3	198	15.6%
8	135	10.6%
7	63	5.0%
6	44	3.5%
9	44	3.5%
5	36	2.8%
0	25	2.0%
4	24	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1270	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	453	35.7%
1	248	19.5%
3	198	15.6%
8	135	10.6%
7	63	5.0%
6	44	3.5%
9	44	3.5%
5	36	2.8%
0	25	2.0%
4	24	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1270	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	453	35.7%
1	248	19.5%
3	198	15.6%
8	135	10.6%
7	63	5.0%
6	44	3.5%
9	44	3.5%
5	36	2.8%
0	25	2.0%
4	24	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1270	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	453	35.7%
1	248	19.5%
3	198	15.6%
8	135	10.6%
7	63	5.0%
6	44	3.5%
9	44	3.5%
5	36	2.8%
0	25	2.0%
4	24	1.9%

Month of absence
Categorical

Distinct	12
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	1.5 KiB

3	79
7	63
2	62
10	60
11	56
Other values (7)	343

Common Values
Overview

Value	Count	Frequency (%)
3	79	11.9%
7	63	9.5%
2	62	9.4%
10	60	9.0%
11	56	8.4%
5	55	8.3%
8	54	8.1%
6	51	7.7%
4	49	7.4%
12	46	6.9%
1	45	6.8%
9	43	6.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	2
Median length	1
Mean length	1.244343891
Min length	1

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	263	31.9%
2	108	13.1%
3	79	9.6%
7	63	7.6%
0	60	7.3%
5	55	6.7%
8	54	6.5%
6	51	6.2%
4	49	5.9%
9	43	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	825	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	263	31.9%
2	108	13.1%
3	79	9.6%
7	63	7.6%
0	60	7.3%
5	55	6.7%
8	54	6.5%
6	51	6.2%
4	49	5.9%
9	43	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	825	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	263	31.9%
2	108	13.1%
3	79	9.6%
7	63	7.6%
0	60	7.3%
5	55	6.7%
8	54	6.5%
6	51	6.2%
4	49	5.9%
9	43	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	825	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	263	31.9%
2	108	13.1%
3	79	9.6%
7	63	7.6%
0	60	7.3%
5	55	6.7%
8	54	6.5%
6	51	6.2%
4	49	5.9%
9	43	5.2%

Day of the week
Categorical

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	991.0 B

2	152
3	137
4	133
6	129
5	112

Value	Count	Frequency (%)
2	152	22.9%
3	137	20.7%
4	133	20.1%
6	129	19.5%
5	112	16.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	5
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	152	22.9%
3	137	20.7%
4	133	20.1%
6	129	19.5%
5	112	16.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	663	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	152	22.9%
3	137	20.7%
4	133	20.1%
6	129	19.5%
5	112	16.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	663	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	152	22.9%
3	137	20.7%
4	133	20.1%
6	129	19.5%
5	112	16.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	663	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	152	22.9%
3	137	20.7%
4	133	20.1%
6	129	19.5%
5	112	16.9%

Seasons
Categorical

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	983.0 B

2	171
4	168
3	163
1	161

Value	Count	Frequency (%)
2	171	25.8%
4	168	25.3%
3	163	24.6%
1	161	24.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
2	171	25.8%
4	168	25.3%
3	163	24.6%
1	161	24.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	663	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	171	25.8%
4	168	25.3%
3	163	24.6%
1	161	24.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	663	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
2	171	25.8%
4	168	25.3%
3	163	24.6%
1	161	24.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	663	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
2	171	25.8%
4	168	25.3%
3	163	24.6%
1	161	24.3%

Transportation expense
Real number (ℝ_≥0)

Distinct	23
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	221.4449472
Minimum	118
Maximum	388
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	118
5-th percentile	118
Q1	179
median	225
Q3	260
95-th percentile	361
Maximum	388
Range	270
Interquartile range (IQR)	81

Descriptive statistics

Standard deviation	66.22377769
Coefficient of variation (CV)	0.2990530086
Kurtosis	-0.3329517395
Mean	221.4449472
Median Absolute Deviation (MAD)	46
Skewness	0.372029783
Sum	146818
Variance	4385.588732
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
179	157	23.7%
118	80	12.1%
225	77	11.6%
235	49	7.4%
289	43	6.5%
260	39	5.9%
291	36	5.4%
155	29	4.4%
246	27	4.1%
248	23	3.5%
361	23	3.5%
330	14	2.1%
369	13	2.0%
228	8	1.2%
189	8	1.2%
233	7	1.1%
184	6	0.9%
157	6	0.9%
378	5	0.8%
300	5	0.8%
279	4	0.6%
268	2	0.3%
388	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
118	80	12.1%
155	29	4.4%
157	6	0.9%
179	157	23.7%
184	6	0.9%
189	8	1.2%
225	77	11.6%
228	8	1.2%
233	7	1.1%
235	49	7.4%

Value	Count	Frequency (%)
388	2	0.3%
378	5	0.8%
369	13	2.0%
361	23	3.5%
330	14	2.1%
300	5	0.8%
291	36	5.4%
289	43	6.5%
279	4	0.6%
268	2	0.3%

Distance from Residence to Work
Real number (ℝ_≥0)

Distinct	23
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	29.47963801
Minimum	5
Maximum	52
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	5
5-th percentile	10
Q1	16
median	26
Q3	50
95-th percentile	51
Maximum	52
Range	47
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	14.73161075
Coefficient of variation (CV)	0.4997215617
Kurtosis	-1.229046189
Mean	29.47963801
Median Absolute Deviation (MAD)	11
Skewness	0.3355102368
Sum	19545
Variance	217.0203552
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
26	119	17.9%
51	103	15.5%
25	50	7.5%
10	50	7.5%
50	41	6.2%
36	38	5.7%
31	34	5.1%
12	29	4.4%
13	28	4.2%
11	24	3.6%
16	24	3.6%
52	23	3.5%
22	20	3.0%
20	13	2.0%
17	13	2.0%
29	12	1.8%
15	8	1.2%
14	8	1.2%
27	6	0.9%
42	6	0.9%
48	5	0.8%
49	5	0.8%
5	4	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	4	0.6%
10	50	7.5%
11	24	3.6%
12	29	4.4%
13	28	4.2%
14	8	1.2%
15	8	1.2%
16	24	3.6%
17	13	2.0%
20	13	2.0%

Value	Count	Frequency (%)
52	23	3.5%
51	103	15.5%
50	41	6.2%
49	5	0.8%
48	5	0.8%
42	6	0.9%
36	38	5.7%
31	34	5.1%
29	12	1.8%
27	6	0.9%

Service time
Real number (ℝ_≥0)

Distinct	18
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.48717949
Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	9
median	13
Q3	16
95-th percentile	18
Maximum	29
Range	28
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.425216301
Coefficient of variation (CV)	0.3543807716
Kurtosis	0.789208855
Mean	12.48717949
Median Absolute Deviation (MAD)	4
Skewness	0.029294716
Sum	8279
Variance	19.58253931
Monotocity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
18	124	18.7%
9	116	17.5%
14	78	11.8%
13	64	9.7%
12	53	8.0%
10	50	7.5%
11	44	6.6%
16	35	5.3%
3	23	3.5%
17	20	3.0%
4	14	2.1%
8	12	1.8%
1	7	1.1%
7	6	0.9%
6	6	0.9%
29	5	0.8%
15	4	0.6%
24	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	7	1.1%
3	23	3.5%
4	14	2.1%
6	6	0.9%
7	6	0.9%
8	12	1.8%
9	116	17.5%
10	50	7.5%
11	44	6.6%
12	53	8.0%

Value	Count	Frequency (%)
29	5	0.8%
24	2	0.3%
18	124	18.7%
17	20	3.0%
16	35	5.3%
15	4	0.6%
14	78	11.8%
13	64	9.7%
12	53	8.0%
11	44	6.6%

Age
Real number (ℝ_≥0)

Distinct	21
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36.2760181
Minimum	27
Maximum	58
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	27
5-th percentile	28
Q1	31
median	37
Q3	40
95-th percentile	50
Maximum	58
Range	31
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	6.463292667
Coefficient of variation (CV)	0.178169849
Kurtosis	0.5721696934
Mean	36.2760181
Median Absolute Deviation (MAD)	4
Skewness	0.7471926819
Sum	24051
Variance	41.7741521
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
28	110	16.6%
38	96	14.5%
37	72	10.9%
40	54	8.1%
33	48	7.2%
36	44	6.6%
30	41	6.2%
41	31	4.7%
50	30	4.5%
34	29	4.4%
47	23	3.5%
31	20	3.0%
43	18	2.7%
32	12	1.8%
58	8	1.2%
29	6	0.9%
27	6	0.9%
49	5	0.8%
39	4	0.6%
48	4	0.6%
46	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
27	6	0.9%
28	110	16.6%
29	6	0.9%
30	41	6.2%
31	20	3.0%
32	12	1.8%
33	48	7.2%
34	29	4.4%
36	44	6.6%
37	72	10.9%

Value	Count	Frequency (%)
58	8	1.2%
50	30	4.5%
49	5	0.8%
48	4	0.6%
47	23	3.5%
46	2	0.3%
43	18	2.7%
41	31	4.7%
40	54	8.1%
39	4	0.6%

Work load Average/day
Real number (ℝ_≥0)

Distinct	37
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	271.844175
Minimum	205.917
Maximum	378.884
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	205.917
5-th percentile	222.196
Q1	244.387
median	264.249
Q3	294.217
95-th percentile	343.253
Maximum	378.884
Range	172.967
Interquartile range (IQR)	49.83

Descriptive statistics

Standard deviation	39.52583048
Coefficient of variation (CV)	0.1453988502
Kurtosis	0.448003128
Mean	271.844175
Median Absolute Deviation (MAD)	22.773
Skewness	0.9029618989
Sum	180232.688
Variance	1562.291275
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
222.196	32	4.8%
343.253	29	4.4%
237.656	28	4.2%
264.249	28	4.2%
284.853	24	3.6%
205.917	21	3.2%
265.017	20	3.0%
268.519	20	3.0%
326.452	19	2.9%
284.031	19	2.9%
308.593	19	2.9%
230.29	19	2.9%
265.615	18	2.7%
236.629	18	2.7%
253.957	18	2.7%
302.585	18	2.7%
244.387	18	2.7%
275.089	17	2.6%
306.345	17	2.6%
241.476	17	2.6%
239.554	17	2.6%
246.288	17	2.6%
377.55	16	2.4%
253.465	16	2.4%
251.818	16	2.4%
Other values (12)	162	24.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
205.917	21	3.2%
222.196	32	4.8%
230.29	19	2.9%
236.629	18	2.7%
237.656	28	4.2%
239.409	13	2.0%
239.554	17	2.6%
241.476	17	2.6%
244.387	18	2.7%
246.074	15	2.3%

Value	Count	Frequency (%)
378.884	12	1.8%
377.55	16	2.4%
343.253	29	4.4%
330.061	11	1.7%
326.452	19	2.9%
313.532	15	2.3%
308.593	19	2.9%
306.345	17	2.6%
302.585	18	2.7%
294.217	15	2.3%

Hit target
Real number (ℝ_≥0)

Distinct	13
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	94.68476621
Minimum	81
Maximum	100
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	81
5-th percentile	88
Q1	93
median	95
Q3	97
95-th percentile	99
Maximum	100
Range	19
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.675491652
Coefficient of variation (CV)	0.03881819429
Kurtosis	2.557680858
Mean	94.68476621
Median Absolute Deviation (MAD)	2
Skewness	-1.246238273
Sum	62776
Variance	13.50923888
Monotocity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
93	98	14.8%
99	93	14.0%
97	78	11.8%
92	69	10.4%
96	67	10.1%
95	66	10.0%
98	60	9.0%
91	41	6.2%
94	34	5.1%
88	20	3.0%
81	15	2.3%
100	11	1.7%
87	11	1.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
81	15	2.3%
87	11	1.7%
88	20	3.0%
91	41	6.2%
92	69	10.4%
93	98	14.8%
94	34	5.1%
95	66	10.0%
96	67	10.1%
97	78	11.8%

Value	Count	Frequency (%)
100	11	1.7%
99	93	14.0%
98	60	9.0%
97	78	11.8%
96	67	10.1%
95	66	10.0%
94	34	5.1%
93	98	14.8%
92	69	10.4%
91	41	6.2%

Disciplinary failure
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	791.0 B

False	663

Common Values
Chart

Value	Count	Frequency (%)
False	663	100.0%

Education
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	983.0 B

1	543
3	73
2	43
4	4

Value	Count	Frequency (%)
1	543	81.9%
3	73	11.0%
2	43	6.5%
4	4	0.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
1	543	81.9%
3	73	11.0%
2	43	6.5%
4	4	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	663	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	543	81.9%
3	73	11.0%
2	43	6.5%
4	4	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	663	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	543	81.9%
3	73	11.0%
2	43	6.5%
4	4	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	663	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	543	81.9%
3	73	11.0%
2	43	6.5%
4	4	0.6%

Children
Real number (ℝ_≥0)

ZEROS

Distinct	5
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.042232278
Minimum	0
Maximum	4
Zeros	261
Zeros (%)	39.4%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	4
Maximum	4
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.105340986
Coefficient of variation (CV)	1.060551481
Kurtosis	0.6693052233
Mean	1.042232278
Median Absolute Deviation (MAD)	1
Skewness	1.054024465
Sum	691
Variance	1.221778695
Monotocity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
0	261	39.4%
1	204	30.8%
2	146	22.0%
4	39	5.9%
3	13	2.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	261	39.4%
1	204	30.8%
2	146	22.0%
3	13	2.0%
4	39	5.9%

Value	Count	Frequency (%)
4	39	5.9%
3	13	2.0%
2	146	22.0%
1	204	30.8%
0	261	39.4%

Social drinker
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	791.0 B

True	370
False	293

Common Values
Chart

Value	Count	Frequency (%)
True	370	55.8%
False	293	44.2%

Social smoker
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	791.0 B

False	617
True	46

Common Values
Chart

Value	Count	Frequency (%)
False	617	93.1%
True	46	6.9%

Pet
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.7511312217
Minimum	0
Maximum	8
Zeros	404
Zeros (%)	60.9%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.296017984
Coefficient of variation (CV)	1.725421533
Kurtosis	10.0069227
Mean	0.7511312217
Median Absolute Deviation (MAD)	0
Skewness	2.741895457
Sum	498
Variance	1.679662616
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	404	60.9%
1	130	19.6%
2	90	13.6%
4	28	4.2%
8	7	1.1%
5	4	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	404	60.9%
1	130	19.6%
2	90	13.6%
4	28	4.2%
5	4	0.6%
8	7	1.1%

Value	Count	Frequency (%)
8	7	1.1%
5	4	0.6%
4	28	4.2%
2	90	13.6%
1	130	19.6%
0	404	60.9%

Weight
Real number (ℝ_≥0)

Distinct	25
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	78.71191554
Minimum	56
Maximum	108
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	56
5-th percentile	56
Q1	69
median	80
Q3	89
95-th percentile	98
Maximum	108
Range	52
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	12.69107591
Coefficient of variation (CV)	0.1612344944
Kurtosis	-0.9199774004
Mean	78.71191554
Median Absolute Deviation (MAD)	10
Skewness	0.02064129444
Sum	52186
Variance	161.0634077
Monotocity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
89	96	14.5%
69	81	12.2%
65	54	8.1%
83	50	7.5%
56	41	6.2%
90	38	5.7%
73	34	5.1%
95	29	4.4%
98	28	4.2%
67	27	4.1%
88	26	3.9%
86	23	3.5%
80	23	3.5%
63	20	3.0%
75	18	2.7%
84	14	2.1%
106	13	2.0%
70	13	2.0%
68	11	1.7%
58	6	0.9%
108	5	0.8%
77	5	0.8%
94	4	0.6%
76	2	0.3%
79	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
56	41	6.2%
58	6	0.9%
63	20	3.0%
65	54	8.1%
67	27	4.1%
68	11	1.7%
69	81	12.2%
70	13	2.0%
73	34	5.1%
75	18	2.7%

Value	Count	Frequency (%)
108	5	0.8%
106	13	2.0%
98	28	4.2%
95	29	4.4%
94	4	0.6%
90	38	5.7%
89	96	14.5%
88	26	3.9%
86	23	3.5%
84	14	2.1%

Height
Real number (ℝ_≥0)

Distinct	14
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	172.2262443
Minimum	163
Maximum	196
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	163
5-th percentile	167
Q1	169
median	171
Q3	172
95-th percentile	185
Maximum	196
Range	33
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	6.216640682
Coefficient of variation (CV)	0.03609578033
Kurtosis	6.969340933
Mean	172.2262443
Median Absolute Deviation (MAD)	1
Skewness	2.554069834
Sum	114186
Variance	38.64662137
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
172	146	22.0%
170	143	21.6%
169	88	13.3%
171	75	11.3%
178	49	7.4%
168	43	6.5%
196	29	4.4%
167	27	4.1%
165	23	3.5%
182	18	2.7%
175	7	1.1%
185	6	0.9%
174	5	0.8%
163	4	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
163	4	0.6%
165	23	3.5%
167	27	4.1%
168	43	6.5%
169	88	13.3%
170	143	21.6%
171	75	11.3%
172	146	22.0%
174	5	0.8%
175	7	1.1%

Value	Count	Frequency (%)
196	29	4.4%
185	6	0.9%
182	18	2.7%
178	49	7.4%
175	7	1.1%
174	5	0.8%
172	146	22.0%
171	75	11.3%
170	143	21.6%
169	88	13.3%

Body mass index
Real number (ℝ_≥0)

Distinct	15
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26.52639517
Minimum	19
Maximum	38
Zeros	0
Zeros (%)	0.0%
Memory size	5.3 KiB

Quantile statistics

Minimum	19
5-th percentile	19
Q1	24
median	25
Q3	31
95-th percentile	32
Maximum	38
Range	19
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.150726665
Coefficient of variation (CV)	0.1564753385
Kurtosis	-0.3097806716
Mean	26.52639517
Median Absolute Deviation (MAD)	3
Skewness	0.2882197173
Sum	17587
Variance	17.22853185
Monotocity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
31	124	18.7%
25	117	17.6%
24	79	11.9%
23	68	10.3%
28	54	8.1%
19	41	6.2%
30	38	5.7%
22	34	5.1%
32	23	3.5%
27	23	3.5%
29	22	3.3%
21	18	2.7%
38	13	2.0%
36	5	0.8%
33	4	0.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
19	41	6.2%
21	18	2.7%
22	34	5.1%
23	68	10.3%
24	79	11.9%
25	117	17.6%
27	23	3.5%
28	54	8.1%
29	22	3.3%
30	38	5.7%

Value	Count	Frequency (%)
38	13	2.0%
36	5	0.8%
33	4	0.6%
32	23	3.5%
31	124	18.7%
30	38	5.7%
29	22	3.3%
28	54	8.1%
27	23	3.5%
25	117	17.6%

Absenteeism time in hours
Real number (ℝ_≥0)

Distinct	19
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.606334842
Minimum	0
Maximum	120
Zeros	1
Zeros (%)	0.2%
Memory size	5.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	8
95-th percentile	24
Maximum	120
Range	120
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	13.91690127
Coefficient of variation (CV)	1.829646152
Kurtosis	35.20063653
Mean	7.606334842
Median Absolute Deviation (MAD)	3
Skewness	5.477282659
Sum	5043
Variance	193.6801411
Monotocity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
8	207	31.2%
2	137	20.7%
3	102	15.4%
1	85	12.8%
4	60	9.0%
16	19	2.9%
24	16	2.4%
5	7	1.1%
40	7	1.1%
32	6	0.9%
120	3	0.5%
64	3	0.5%
80	3	0.5%
112	2	0.3%
56	2	0.3%
7	1	0.2%
48	1	0.2%
104	1	0.2%
0	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.2%
1	85	12.8%
2	137	20.7%
3	102	15.4%
4	60	9.0%
5	7	1.1%
7	1	0.2%
8	207	31.2%
16	19	2.9%
24	16	2.4%

Value	Count	Frequency (%)
120	3	0.5%
112	2	0.3%
104	1	0.2%
80	3	0.5%
64	3	0.5%
56	2	0.3%
48	1	0.2%
40	7	1.1%
32	6	0.9%
24	16	2.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	df_index	ID	Reason for absence	Month of absence	Day of the week	Seasons	Transportation expense	Distance from Residence to Work	Service time	Age	Work load Average/day	Hit target	Disciplinary failure	Education	Children	Social drinker	Social smoker	Pet	Weight	Height	Body mass index	Absenteeism time in hours
0	0	11	26	7	3	1	289	36	13	33	239.554	97	False	1	2	True	False	1	90	172	30	4
1	2	3	23	7	4	1	179	51	18	38	239.554	97	False	1	0	True	False	0	89	170	31	2
2	3	7	7	7	5	1	279	5	14	39	239.554	97	False	1	2	True	True	0	68	168	24	4
3	4	11	23	7	5	1	289	36	13	33	239.554	97	False	1	2	True	False	1	90	172	30	2
4	5	3	23	7	6	1	179	51	18	38	239.554	97	False	1	0	True	False	0	89	170	31	2
5	6	10	22	7	6	1	361	52	3	28	239.554	97	False	1	1	True	False	4	80	172	27	8
6	7	20	23	7	6	1	260	50	11	36	239.554	97	False	1	4	True	False	0	65	168	23	4
7	8	14	19	7	2	1	155	12	14	34	239.554	97	False	1	2	True	False	0	95	196	25	40
8	9	1	22	7	2	1	235	11	14	37	239.554	97	False	3	1	False	False	1	88	172	29	8
9	10	20	1	7	2	1	260	50	11	36	239.554	97	False	1	4	True	False	0	65	168	23	8

Last rows

	df_index	ID	Reason for absence	Month of absence	Day of the week	Seasons	Transportation expense	Distance from Residence to Work	Service time	Age	Work load Average/day	Hit target	Disciplinary failure	Education	Children	Social drinker	Social smoker	Pet	Weight	Height	Body mass index	Absenteeism time in hours
653	727	9	6	7	2	1	228	14	16	58	264.604	93	False	1	2	False	False	1	65	172	22	8
654	728	34	28	7	2	1	118	10	10	37	264.604	93	False	1	0	False	False	0	83	172	28	4
655	729	9	6	7	3	1	228	14	16	58	264.604	93	False	1	2	False	False	1	65	172	22	120
656	730	6	22	7	3	1	189	29	13	33	264.604	93	False	1	2	False	False	2	69	167	25	16
657	731	34	23	7	4	1	118	10	10	37	264.604	93	False	1	0	False	False	0	83	172	28	2
658	732	10	22	7	4	1	361	52	3	28	264.604	93	False	1	1	True	False	4	80	172	27	8
659	733	28	22	7	4	1	225	26	9	28	264.604	93	False	1	1	False	False	2	69	169	24	8
660	734	13	13	7	2	1	369	17	12	31	264.604	93	False	1	3	True	False	0	70	169	25	80
661	735	11	14	7	3	1	289	36	13	33	264.604	93	False	1	2	True	False	1	90	172	30	8
662	736	1	11	7	3	1	235	11	14	37	264.604	93	False	3	1	False	False	1	88	172	29	4

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows